Perancangan Film Dokumenter Sebagai Upaya Untuk Memotivasi Masyarakat Terdampak Pandemi COVID-19

COVID-19 (Corona Virus Disease 2019) disebabkan oleh jenis coronavirus baru Sars-CoV, pertama kali terjadi di Wuhan, Cina. Virus ini memiliki tingkat penyebaran yang sangat cepat ke seluruh dunia bahkan di Indonesia, sehingga hal ini sangat berdampak buruk bagi kehidupan masyarakat. Dampak pandemi COVID-19 mempengaruhi berbagai sektor, diantaranya sektor ekonomi, psikologi dan kesehatan. Terganggunya pertumbuhan ekonomi menyebabkan turunnya pendapatan bahkan kehilangan pekerjaan yang dapat memicu stres, tekanan psikologi dan gangguan kesehatan mental seseorang. Penelitian ini menghasilkan film dokumenter bergaya expository sebagai media untuk memotivasi dan menyemangati masyarakat terdampak pandemi. Metode yang digunakan adalah wawancara dan observasi, yaitu wawancara langsung dengan pegawai pabrik, UMKM, pedagang kaki lima, dan pebisnis. Tahap perancangan dilalui dengan tahap pra produksi, produksi dan pasca produksi. Perancangan ini menghasilkan media utama berupa film dokumenter jenis expository yang berjudul “Bangkit” terdiri dari Full Version dan Trailer Version dipublikasikan melalui platform Youtube dan Instagram, serta beberapa media pendukung sebagai media promosi, diharapkan menjadi media yang mampu memberikan motivasi, dukungan serta membangkitkan kembali semangat masyarakat terdampak pandemi COVID-19.

Rotational Cryptanalysis of MORUS

MORUS is one of the finalists of the CAESAR competition. This is an ARX construction that required investigation against rotational cryptanalysis. We investigated the power of rotational cryptanalysis against MORUS. We show that all the operations in the state update function of MORUS maintain the rotational pairs when the rotation distance is set to a multiple of the sub-word size. Our investigation also confirms that the rotational pairs can be used as distinguishers for the full version of MORUS if the constants used in MORUS are rotational-invariant. However, the actual constants used in MORUS are not rotational-invariant. The introduction of such constants in the state update function breaks the symmetry of the rotational pairs. Experimental results show that rotational pairs can be used as distinguishers for only one step of the initialization phase of MORUS. For more than one step, there are not enough known differences in the rotational pairs of MORUS to provide an effective distinguisher. This is due to the XOR-ing of the constants that are not rotational-invariant. Therefore, it is unlikely for an adversary to construct a distinguisher for the full version of MORUS by observing the rotational pairs.

Improved guess-and-determine and distinguishing attacks on SNOW-V

In this paper, we investigate the security of SNOW-V, demonstrating two guess-and-determine (GnD) attacks against the full version with complexities 2384 and 2378, respectively, and one distinguishing attack against a reduced variant with complexity 2303. Our GnD attacks use enumeration with recursion to explore valid guessing paths, and try to truncate as many invalid guessing paths as possible at early stages of the recursion by carefully designing the order of guessing. In our first GnD attack, we guess three 128-bit state variables, determine the remaining four according to four consecutive keystream words. We finally use the next three keystream words to verify the correct guess. The second GnD attack is similar but exploits one more keystream word as side information helping to truncate more guessing paths. Our distinguishing attack targets a reduced variant where 32-bit adders are replaced with exclusive-OR operations. The samples can be collected from short keystream sequences under different (key, IV) pairs. These attacks do not threaten SNOW-V, but provide more in-depth details for understanding its security and give new ideas for cryptanalysis of other ciphers.

Essential Cases: Contract Law

Essential Cases: Contract Law provides a bridge between course textbooks and key case judgments. Essential Cases provides you with succinct summaries of some of the landmark and most influential cases in contract law. Each summary begins with a review of the main case facts and decision. The summary is then concluded with expert commentary on the case from the author, Nicola Jackson, including an assessment of the wider questions raised by the decision. It can act as a succinct reference source alongside your core textbooks as you proceed through your course. It can also be used as a stand-alone revision aid as you approach examinations. But central to the Essential Cases series is the aim to encourage your own critical exploration of the legal matters under discussion. Where possible, a link to a free-to-access full version of the judgment is included in each summary, providing you with an opportunity to deepen your understanding by reading the judgment of the court for yourself.

Brief Version of Caffeine Expectancy Questionnaire in Brazil

The use of extensive questionnaires has the limitation of filling time bias, related to the ability to focus and accurately respond to many items, justifying the necessity for a brief version. This study aimed to build a brief version of the Caffeine Expectancy Questionnaire in Brazil (B-CaffEQ-BR) composed of 21 items divided into seven factors, with as adequate consistency and reproducibility as the full version. Quantitative procedures using statistical modeling were applied using the CaffEQ-BR (full version) database keeping the Mean Absolute Error (MAE) (based on the full version) <0.5 and Cronbach's α and Intraclass Correlation Coefficient (ICC) ≥0.7. The expert panel (n = 3), in a blind design, evaluated the semantic structuring within the options indicated by previous statistical modeling until the agreement of the expert panel. The participants (n = 62), Brazilian adults who were regular caffeine consumers (175.8 ± 94.4 mg/day), of whom 62.9% were women, 33.1 ± 9.7 years, 24.5 ± 3.8 kg/m2, and 62.9% of whom self-identified as white, were asked to respond twice to the online questionnaire in 48–72 h. The first sample (n = 40) tested interobserver reproducibility with the double application of B-CaffEQ-BR. Another sample (n = 22) answered the CaffEQ-BR (full version) and B-CaffEQ-BR, and the last sample (n = 18) performed the reverse process. The B-CaffEQ-BR presented excellent internal consistency (Cronbach's α ≥ 0.729) and overall reproducibility (ICC ≥ 0.915) for the entire questionnaire and its seven factors. The B-CaffEQ-BR can be a valuable tool in caffeine research with the Brazilian adult population.

Neuroevolution in deep neural networks

A variety of methods have been applied to the architectural configuration and learning or training of artificial deep neural networks (DNNs). These methods play a crucial role in the success or failure of the DNNs for most problems. Evolutionary Algorithms are gaining momentum as a computationally feasible method for the automated optimisation of DNNs. Neuroevolution is a term that describes these processes. This newsletter article summarises the full version available at https://arxiv.org/abs/2006.05415.

Is a 7-Item Combination from the YLS/CMI an Effective Screening Strategy for Risk to Reoffend? Findings from a Cross-National Study

Several brief screening measures for youth risk to reoffend have been developed; however, these measures have been tested primarily in high-income English-speaking countries and their predictive validity is limited. A recent study proposed a screening strategy using a combination of seven items from the Youth Level of Service/Case Management Inventory (YLS/CMI). Predictive validity for this strategy was better than that reported in studies of previously developed screening tools. In the current study, the predictive validity of this strategy was examined across samples of justice-involved youth from two countries: Canada ( N = 196) and Portugal ( N = 2,348). The full version of the YLS/CMI was completed and recidivism data were collected over a 2-year period. Results support the predictive validity of this strategy, with area under the curve (AUC) values (.69–.74) very similar to those found in the full version in each country, both in the full samples, and for both genders.